Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Function Point Analysis× | Метрики сложности программного обеспечения× | |
|---|---|---|
| Область | Программная инженерия | Программная инженерия |
| Семейство | Process / pipeline | Process / pipeline |
| Год появления≠ | 1979 | 1976 |
| Автор метода≠ | Allan Albrecht | Thomas J. McCabe |
| Тип | quantitative measurement | quantitative measurement |
| Основополагающий источник≠ | Albrecht, A. J. (1979). Measuring application development productivity. In Proceedings of the IBM Applications Development Symposium (pp. 83–92). link ↗ | McCabe, T. J. (1976). A complexity measure. IEEE Transactions on Software Engineering, 2(4), 308–320. DOI ↗ |
| Другие названия≠ | FPA, function points, IFPUG sizing | code complexity analysis, complexity measurement |
| Связанные | 4 | 4 |
| Сводка≠ | Function point analysis (FPA) quantifies software size by counting business functions and user interactions independent of technology or programming language. Introduced by Albrecht (1979), FPA measures delivered functionality, enabling effort estimation, productivity benchmarking, and software value assessment. Organizations use FPA for project contracts, vendor comparison, and portfolio management. | Software complexity metrics quantify the structural and operational difficulty of code through numerical measurements. Introduced by Thomas McCabe in 1976, cyclomatic complexity became the foundational approach. These metrics assess maintainability, testability, and defect risk, enabling teams to identify problematic code regions and guide refactoring efforts. |
| ScholarGateНабор данных ↗ |
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